Overview In this role you lead the engineering approach for complex features to drive meaningful business outcomes within a scalable GenAI platform. You align design with the broader portfolio, set the solution tool stack, and enable CI/CD capabilities across teams. You shape end-to-end delivery, reference architectures, and governance for high availability and performance. You work with architects and stakeholders to translate needs into enterprise-grade AI solutions that meet regulatory and security standards.
Compensation / Benefits- pay range disclosed
- discretionary incentive eligible
- benefits eligible
- in-office culture with flexibility
- career development opportunities
Responsibilities- Align design and engineering approaches for complex features with the overall portfolio solution
- Define the technology tool stack and adopt new testing frameworks and practices
- Enable CI/CD across teams and coordinate with stakeholders for efficient pipelines
- Advise on design and best practices to optimize code performance through reviews and pairing
- Deliver end-to-end features, including automation, at program level
- Conduct research and prototyping for release management, CI/CD, and features
- Collaborate with stakeholders to capture high-level solution needs and work with architects on technical requirements
- Define GenAI reference architecture across model access, orchestration, retrieval, tool calling, and runtime controls
Key requirements- 10+ years in enterprise architecture, platform architecture, or distributed systems design
- Experience designing platforms at scale and GenAI/agentic architecture
- Proven ability to design for high availability, scalability, and performance
- Experience with identity, access control, and secure service integration
- Familiarity with observability, telemetry, and resilience patterns
- Influence
- Collaboration
- Analytical thinking
- GenAI/agentic architecture
- RAG, vector retrieval, orchestration, tool calling, guardrails
- CI/CD implementation
